Experimental library screening demonstrates the successful application of computational protein design to large structural ensembles
about
Computational design of a PDZ domain peptide inhibitor that rescues CFTR activityGeneration of longer emission wavelength red fluorescent proteins using computationally designed librariesPrecision is essential for efficient catalysis in an evolved Kemp eliminaseDirect prediction of profiles of sequences compatible with a protein structure by neural networks with fragment-based local and energy-based nonlocal profilesAchievements and Challenges in Computational Protein Design.Multistate Computational Protein Design with Backbone Ensembles.Designing specific protein-protein interactions using computation, experimental library screening, or integrated methodsStructure-based redesign of the binding specificity of anti-apoptotic Bcl-x(L).SwiftLib: rapid degenerate-codon-library optimization through dynamic programmingComputational Design of the β-Sheet Surface of a Red Fluorescent Protein Allows Control of Protein OligomerizationDiscriminating between stabilizing and destabilizing protein design mutations via recombination and simulation.Design of Protein Multi-specificity Using an Independent Sequence Search Reduces the Barrier to Low Energy Sequences.Enriching Peptide Libraries for Binding Affinity and Specificity Through Computationally Directed Library Design.Rosetta:MSF: a modular framework for multi-state computational protein design.Predictive Bcl-2 family binding models rooted in experiment or structure.Computationally Designed Bispecific Antibodies using Negative State Repertoires.Computational design of protein-ligand interfaces: potential in therapeutic development.Protein stability by number: high-throughput and statistical approaches to one of protein science's most difficult problems.Multistate approaches in computational protein design.Computational Enzyme Design: Advances, hurdles and possible ways forwardRecent advances in rational approaches for enzyme engineering.Improving the accuracy of protein stability predictions with multistate design using a variety of backbone ensembles.Optimization of rotamers prior to template minimization improves stability predictions made by computational protein design.Computational analysis of non-covalent polymer-protein interactions governing antibody orientation.Rational design of proteins that exchange on functional timescales.Integrating linear optimization with structural modeling to increase HIV neutralization breadth.
P2860
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P2860
Experimental library screening demonstrates the successful application of computational protein design to large structural ensembles
description
2010 nî lūn-bûn
@nan
2010 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Experimental library screening ...... to large structural ensembles
@ast
Experimental library screening ...... to large structural ensembles
@en
type
label
Experimental library screening ...... to large structural ensembles
@ast
Experimental library screening ...... to large structural ensembles
@en
prefLabel
Experimental library screening ...... to large structural ensembles
@ast
Experimental library screening ...... to large structural ensembles
@en
P2093
P2860
P356
P1476
Experimental library screening ...... to large structural ensembles
@en
P2093
Alex Nisthal
Benjamin D Allen
Stephen L Mayo
P2860
P304
19838-19843
P356
10.1073/PNAS.1012985107
P407
P577
2010-11-02T00:00:00Z